Salcedo-Sanz, Sancho

Home Publicaciones Artículossancho-salcedo-sanz

SpanishES

English (UK)

Salcedo-Sanz, Sancho

Información Personal
Posición:	Profesor Titular de Universidad
Áreas de investigación:	Sin Categoría


Publicaciones
A general explicable forecasting framework for weather events based on ordinal classification and inductive rules combined with fuzzy logic One month in advance prediction of air temperature from Reanalysis data with Explainable Artificial Intelligence techniques Machine learning regression and classification methods for fog events prediction Ordinal multi-class architecture for predicting wind power ramp events based on reservoir computing Evolutionary artificial neural networks for accurate solar radiation prediction Analysis and Prediction of Dammed Water Level in a Hydropower Reservoir Using Machine Learning and Persistence-Based Techniques Ordinal regression algorithms for the analysis of convective situations over Madrid-Barajas airport Multi-task learning for the prediction of wind power ramp events with deep neural networks Prediction of convective clouds formation using evolutionary neural computation techniques Dynamical Memetization in Coral Reef Optimization Algorithms for Optimal Time Series Approximation Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm Efficient Fog Prediction with Multi-objective Evolutionary Neural Networks A statistically-driven Coral Reef Optimization algorithm for optimal size reduction of time series Predicción ordinal de rampas de viento usando Echo State Networks de complejidad reducida Algoritmos de aprendizaje automático para predicción de niveles de niebla usando ventanas estáticas y dinámicas An Empirical Validation of a New Memetic CRO Algorithm for the Approximation of Time Series Wind power ramp events ordinal prediction using minimum complexity echo state networks Prediction of low-visibility events due to fog using ordinal classification A mixture of experts model for predicting persistent weather patterns Robust estimation of wind power ramp events with reservoir computing A coral reef optimization algorithm for wave height time series segmentation problems Combining Reservoir Computing and Over-Sampling for Ordinal Wind Power Ramp Prediction A review of classification problems and algorithms in renewable energy applications Massive missing data reconstruction in ocean buoys with evolutionary product unit neural networks Multiclass Prediction of Wind Power Ramp Events Combining Reservoir Computing and Support Vector Machines Significant wave height and energy flux range forecast with machine learning classifiers Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model Simultaneous modelling of rainfall occurrence and amount using a hierarchical nominal-ordinal support vector classifier Ordinal and nominal classification of wind speed from synoptic pressure patterns Evolutionary product unit neural networks for short-term wind speed forecasting in wind farms Evaluating nominal and ordinal classifiers for wind speed prediction from synoptic pressure patterns GRUPO DE INVESTIGACIÓN TIC-148 Predicción a Corto Plazo de la Velocidad del Viento en Parques Eólicos Mediante Redes Evolutivas de Unidades Producto Generalized logistic regression models using neural network basis functions applied to the detection of banking crises Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises Hyperbolic Tangent Basis Function Neural Networks Training by Hybrid Evolutionary Programming for Accurate Short-Term Wind Speed Prediction [Ver Menos]
Proyectos
Mapas (Máquinas de apredizaje para problemas y aplicaciones singulares) Diversificación avanzada de máquinas de aprendizaje (Red DAMA)